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Machine learning-based Sell-In Forecasting for Consumer Electronics

bridgei2i

Machine learning-based Sell-In Forecasting for Consumer Electronics. With over 2000 products and a channel-focused Supply Chain planning approach, our Client wanted accurate Supply Chain Forecast for optimal product-availability within 8-week lead-times. Case study. Business Context. How BRIDGEi2i delivered value.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Use an interpretable approach to forecasting electricity demand data for California.

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. In 2000, the Netherlands had 8.5 Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Machine Learning algorithms often need to handle highly-imbalanced datasets. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78. UCI machine learning repository. Machine learning for the detection of oil spills in satellite radar images.

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Top Challenges and Opportunities for Chief Data Officers

Sisense

Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts. The role is a relative newcomer to the boardroom. Clearly, data is becoming more important to organizations.

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Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics 

Jet Global

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. It uses past data, machine learning, and smart AI to forecast what’s coming down the road.